To work on this exercise, you should first work through the Lecture on Fourier Analysis of Signals. In particular, go through the notebooks mentioned in the lecture overview.
Go through the PCP notebook on Complex Numbers and complete exercises 1 and 2.
Go through the PCP notebook on the Exponential Function and complete exercise 1 and optionally exercise 3.
Go through the PCP notebook on Signals and Sampling and complete exercises 1 and 2. Be sure that you understand the concepts of sampling, aliasing and beating.
Finally, take some audio file (e.g. your favorite song) and listen to downsampled versions of it at different sampling rates. Can you find signals for which the effect is more pronounced? And can you find signals for which the original and the downsampled version sound (almost) identical?
Go through the FMP notebook on Quantization.
Again, take some audio file and experiment with different quantization levels. At which quantization strength do you begin to hear quantization noise?
Go through the PCP notebook on the DFT and FFT (you may skip the part on the FFT for now) and complete exercises 1, 2, 3. You may check the FMP notebook on DFT and FFT for more explanations of the concepts.
Explain in your own words: What happens to a signal $x$ when it is multiplied with the matrix $\mathrm{DFT}_N$? Check your understanding by looking at the visualizations of $\mathrm{Re}(\mathrm{DFT}_N)$ and $\mathrm{Im}(\mathrm{DFT}_N)$ and answering the following questions:
Go through the FMP notebooks on Frequency Grid Density up until, but not including, "Frequency Interpolation for STFT" and Frequency Grid Interpolation up until, but not including, "STFT with Increased Frequency Grid Resolution".
Answer the following questions:
Read the FMP notebook on DFT and FFT and try to understand the FFT algorithm in depth. For this, also read Section 2.4.3 of the text book. Be able to answer the following questions